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If you have ever run a web site, you've been exposed to the addictive, number-crunching fun provided by web stats. Any web site that's worth it's pixels will have, at the very least, a freeware program like AWStats parsing through the server logs and putting together colorful charts and reports. Our host, Q5media, are kind enough to provide us with LiveStats by Deepmetrix.
Web stats can be really useful for blogs. They can tell you all sorts of interesting things about your readership, for example, last month 55 people found the site while searching for Yakety Sax, no doubt landing on our article about how Yakety Sax makes anything funny. Other top searches included guys kissing, how youtube works, and once you go black. Hopefully everyone found what they were looking for.
As you can see, the most important use of web stats is to find the strangest search phrases people use to get to your articles. The small sample above is actually at the top of our list, but on a more sedate blog you might have to dig a bit to get to the comedy. Looking further down I get gems such as "indian dicks" and "bees apocalypse." In addition, web stats provide you a way to start fights between your writers as they argue over who's getting more traffic and why.
So it's a lot of fun. In order to get some really deep knowledge, you have to venture off into the world of web analytics. Analytics gives you more than just the list of top pages by visitor count. You are able to see where readers come from, how they make their way through the site, and how they exit. If you have advertising on your site, you can really get a sense of what works and what doesn't.
Google Analytics is a completely free, and fairly useful, analytics package to try out. It works by placing a small JavaScript on your pages - in Wordpress, you could stick it in your footer.
So what is this deep knowledge I speak of? Let me give you an example: a few days ago we had an article about the weight loss drug Alli. With Google Analytics, I now know that 9 of the people who read the article clicked on an ad, no doubt one selling Alli or a similar weight-loss product. Six people clicked on to an article about things every nursing student should have, which means at least a tiny percentage of our readers actually look to us for helpful information.
But five people clicked on the the page for the tag "accidents." If you follow that link you'll notice that there's only one article there. The only thing I can think is that five of our readers were not interested in the helpful information aspect of the article as the "pooped myself" aspect. They picked up on the tag and thought it would lead them to more... accidents.
What's worse, in the academic world, this trail they followed is called the "information scent."

Kurt Vonnegut, one of my favorite authors, died a few days ago on April 11th. You may or may not have heard by now. The New York Times wrote a nice piece on his life and a large number of blogs and forums have filled with discussions of his books, essays, and politics.
If you haven't heard by now, I guess I'm not too surprised. Ablogistan took a look and found that there were more twice as many mentions of Anna Nicole Smith in the news than Vonnegut.
That fact is both depressing and fascinating at the same time. One of the tried and true methods of social science research is content analysis, where researchers pour over the raw text produced by a culture and measure things like word use. Content analysis is nice because it gives you quantitative data in areas otherwise relegated to qualitative research, but it can be a real chore. If you wanted to study McCarthyism, for example, you would need to poor over thousands of pages of microfiche counting word occurrences and judging usage.
The chart comparing Anna Nicole Smith and Kurt Vonnegut is fascinating because it points out how the rise of the Internet has helped lessen a lot of the tediousness of content analysis. So let's take a look. What else is more important than Kurt Vonnegut?
(Unfortunately the Internet has not made the difficult stuff like conceptualization and research design any easier, so the findings below are not exactly academic journal material).
Google News search for Kurt Vonnegut (past week): 1,317 articles.
Google News search for Anna Nicole Smith (past week): 10,232 articles.
Google News search for Don Imus (past week): 9,534 articles.
There you have it. Anna Nicole Smith, notable for going from being poor and attractive to being rich and less attractive, then rich and somewhat attractive again, is almost 8 times more important than Kurt Vonnegut. Don Imus, who hasn't even died yet, is about 7 times more important than Vonnegut for calling some basketball players "nappy headed hos."
Google News tends to include more traditional news outlets (newspapers, television, etc.). So what about the unprofessional world of commentary and discussion found in blogs?
Congratulations, bloggers! You talked about as much about Kurt Vonnegut as you did Anna Nicole on the day the news of their deaths came out. And so far Don Imus has yet to have half as many mentions.
Blogpulse shows an even clearer trend:
So there you have it: Officially speaking, Kurt Vonnegut, who wrote for half a century, producing some of the best novels of all time, is less important than a woman who was famous mostly for being famous. We have empirical proof.
And once again, the bloggers have shown that they just don't measure up to professional news media.

Every day, five or six thousand social-networking, blogosphere-trotting, long-tailing web sites are created.Â All of them with a really great, new idea that combines RSS with AJAX and plans to stay in Beta forever.Â Out of all of those, a few are really cool and useful - and Technorati is definitely one of them.
Technorati tracks blogs and the discussions, reactions, and responses that bounce from blog to blog via the simple mechanism of who is linking to who.Â It also collects tags and allows you to search the mass of blogs for posts that might be relevant to your query.Â Bloggers can "claim" their own blog and use some surprisingly fun tools to see who is talking about them.Â Some people have even been abandoning the whole trackback system in favor of Technorati.
And apparently, Technorati hates me.
Now, Technorati hasn't outright said it hated me (or us, since this is a group blog), but it won't let us claim Unsought Input.Â Every time we try to make the claim, we get this:

There was a problem claiming your blog. Please try again in a few minutes. You can also go to Technorati Help for help claiming your blog.

Trying again is of no use, whether we wait a few minutes or a few weeks.Â Using the customer service form to send an email has been fruitless as well.Â Each time an acknowledgment email is promptly returned, but no answer--even when we send them a reminder with our ticket number.
For a while I thought I knew the problem - some of our authors had claimed their author archive pages as their own blogs.Â This doesn't really work, though, since virtually no one links to our author pages and posts on Unsought Input don't fall under the same URL pattern.Â After we cleared out those old claims, I had a small glimmer of hope - but alas, we still cannot complete the claim.
I know they are busy.Â I know that it is a free service (though to tell the truth I would be willing to pay a reasonable price, like I have with StumbleUpon and Last.fm, it really is a cool service).Â But at this point I feel like a freshman in high school with no date for the winter formal:
But why doesn't Technorati like us?Â There was a post about some technical difficulties on the Technorati blog last month, but judging by the example at blogs.marketwatch.com, it turned out to be more about indexing times than problems with claims.
I've seen the same issue mentioned on other blogs like Bark Bark Woof Woof, and a few commenters have mentioned the possibility that Unsought Input has been identified as spam.Â I hope the latter is the case, because it has become clear recently that if a powerful gateway site like Google thinks you are spam, you are in big trouble.
...
To be fair, this post is a bit tongue-in-cheek.Â Â The folks at Technorati are remarkably accessible, and many of them have blogs of their own (or even make their email addresses available to the public).Â I just haven't worked up the gumption to pester them more directly.Â I would much rather go through the support page, I know they are busy.

Running into strange WordPress performance problems and database errors?Â Akismet could be the culprit, but we're in luck, it's an easy fix.
Earlier I wrote a bit about our encounter with vicious, robotic Chinese comment spammers.Â Since then we've had a few further issues, and I think I've found the culprit - Akismet, the plugin we've been using to fight the spam.
First off, let me say that I think Akismet is a great plugin.Â While we had hundreds of spams come in for a few days in a row, not one made it out to the public.Â Very nice.Â But it is a bit too aggressive in one spot, and that can slow down your blog or lock up the comment table, filling your max_connections.
The problem is in akismet.php, specifically the akismet_delete_old() function.Â Look for the following lines:

Those of you with PHP / MySQL experience will recognize the problem immediately.Â For the less code-literate, this is creating a random number between 1 and 5, and if the number has a remainder after being divided by 5, it runs and OPTIMIZE TABLE on the comments table.Â That means that at random, it will lock the entire table and compute statistics after 80% off all deletes.
Now, it's a good idea to optimize your tables after a large number of deletes.Â But it is a pretty expensive operation, because it could be rearranging things on disk to free up space.
Now, imagine you get hit by a spam bot and end up with a couple hundred spam comments.Â Akismet catches them all, and 15 days later tries to delete them all in one big loop.Â One big loop filled with a couple hundred table-locking, disk-intensive database operations.
But it's easy to fix.Â Replace the lines above with this:

That will only optimize the table on average once out of 100 comments deleted.Â Why 100?Â It's an educated guess.Â According to the MySQL documentation, at most you will need to optimize a table once a month or so, maybe once a week if you have a large number of deletes or edits on varchar fields.
Why did I pick 42 for the one value out of a hundred that triggers an optimization?Â You're asking the wrong question.